Senior MLOps/AI Engineer

At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders -- internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.

Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!

JOB SUMMARY:

Claritev pioneers innovative solutions for healthcare payments, drawing on unique insights and data analysis to create customized and scalable action plans to help our customers thrive. The Senior Machine Learning Operations Engineer will join our growing data science team to take a lead role in architecting and implementing processes and technologies to make machine learning development and deployment pipelines faster, more reliable, reproducible, and efficient.


JOB ROLES AND RESPONSIBILITIES:

1. Contribute to the design and implementation of MLOps, LLM Ops, and AgenticAI Ops, processes to support development and deployment of data science solutions.2. Contribute to the design and implementation of a model monitoring system to track model performance, model behavior, and data characteristics and to support rapid, human-in-the-loop, model retraining and validation when needed.3. Deploy and test machine learning models as containerized services with API endpoints.4. Support integration of machine learning pipelines into other systems and products as needed based on business requirements5. Find opportunities to simplify workflows, automate tasks, and build components that are reusable across multiple projects6. Communicate and collaborate within the data science team and across other departments7. Ensure compliance with HIPAA regulations and requirements8. Demonstrate the company's core competencies and values held within.9. Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk Role.


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